SavedAdd your journal

Journals / Avrupa Bilim ve Teknoloji Dergisi / 2026 / Sayı: 28 Özel Sayı

Review and Comparison of Flood Modeling Methods

Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması

Vahdettin Demir(KTO KARATAY ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0002-6590-5658
Neslihan Beden(SAMSUN ÜNİVERSİTESİ)0000-0002-5573-8016
Aslı Ülke Keskin(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0002-9676-8377
Pages
1013–1021
Publication Date
2021-11-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the aim of modeling and modeling, the data and analysis methods will be needed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the latest technology experimental, hydrodynamic and simple conceptual models used to analyze floods, one of the greatest disasters globally, are compared.
📊
Key Findings & Data:In this study, the latest developments in flood modeling are emphasized and the advantages and disadvantages of the existing models are presented.
💡
Conclusion & Impact:According to the aim of modeling and modeling, the data and analysis methods will be needed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Taşkınlar · Doğal afetler · Hidrodinamik modelleme

Abstract

In this study, the latest technology experimental, hydrodynamic and simple conceptual models used to analyze floods, one of the greatest disasters globally, are compared. In this study, the latest developments in flood modeling are emphasized and the advantages and disadvantages of the existing models are presented. Various approaches and ways of analyzing the uncertainties about modeling are discussed. The aim of the study is to give the latest information on the subject to the scientists, emergency response organizations, insurance companies and other decision makers working on water resource management for the studies on this subject and to guide the selection of the most appropriate method or model for solving practical problems related to floods. it is to. According to the aim of modeling and modeling, the data and analysis methods will be needed.

Özet

Bu çalışmada, global anlamda en büyük felaketlerden biri olan taşkınların analiz edilmesinde kullanılan son teknoloji deneysel, hidrodinamik ve basit kavramsal modeller karşılaştırılmaktadır. Çalışmada taşkın modellemesinde yaşanan en son gelişmeler vurgulanarak, mevcut modellerin avantajları ve dezavantajları ortaya konulmaktadır. Modelleme konusundaki belirsizliklerin analiz edilmesinde kullanılabilecek çeşitli yaklaşımlar ve ele alınış biçimleri irdelenmiştir. Çalışmanın amacı, bu konu üzerine yapılacak çalışmalar için su kaynaklarının yönetimi üzerine çalışan bilim insanlarına, acil durum müdahale kuruluşlarına, sigorta şirketlerine ve diğer karar vericilere konu ile ilgili en son bilgileri vermek ve taşkınlarla ilgili pratik sorunların çözümü için en uygun yöntemin ya da modelin seçilmesinde rehberlik etmektir. Çalışma ile modelleme amacına ve modelleme sonucunda elde edilmek istenen spesifik çıktılara göre, ihtiyaç duyulacak veriler ve analiz yöntemleri anlatılmıştır.

🔖

Cite This Article

Demir, V., Beden, N., Keskin, A. Ü. (2021). Review and Comparison of Flood Modeling Methods. Avrupa Bilim ve Teknoloji Dergisi, Sayı: 28 Özel Sayı, 1013–1021. https://doi.org/10.31590/ejosat.1010220

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (67)

  1. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O’Connell, P. E., & Rasmussen, J. (1986). An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system. Journal of Hydrology, 87(1–2), 61–77. https://doi.org/10.1016/0022-1694(86)90115-0
  2. Alcrudo, F. (2004). A State of the Art Review on Mathematical Modelling of Flood Propagation, IMPACT Project.
  3. Apel, H., Thieken, A. H., Merz, B., & Blöschl, G. (2006). A probabilistic modelling system for assessing flood risks. Natural Hazards, 38(1–2), 79–100. https://doi.org/10.1007/s11069-005-8603-7
  4. Arduino, G., Reggiani, P., & Todini, E. (2005). Recent advances in flood forecasting and flood risk assessment. Hydrology and Earth System Sciences, 9(4), 280–284. https://doi.org/10.5194/hess-9-280-2005
  5. Baker, W. H., Addams, H. L., & Davis, B. (2005). Critical Factors for Enhancing Municipal Public Hearings. Public Administration Review, 65(4), 490–499. https://doi.org/10.1111/j.1540-6210.2005.00474.x
  6. Bates, P., & De Roo, A. P. (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236(1–2), 54–77. https://doi.org/10.1016/S0022-1694(00)00278-X
  7. Bates, P. D., Horritt, M. S., Smith, C. N., & Mason, D. (1997). Integrating remote sensing observations of flood hydrology and hydraulic modelling. Hydrological Processes, 11(14), 1777–1795. https://doi.org/10.1002/(SICI)1099-1085(199711)11:14 3.0.CO;2-E
  8. Beden, N. (2019). Cevizdere havzasının sayısal modelleme sistemlerine dayalı taşkın analizi ve taşkın zararlarının değerlendirilmesi. O.M.Ü. Fen Bilimleri Enstitüsü.
  9. Beven, K. (1989). Changing ideas in hydrology — The case of physically-based models. Journal of Hydrology, 105(1–2), 157–172. https://doi.org/10.1016/0022-1694(89)90101-7
  10. Bhuiyan, M. J. A. N., & Dutta, D. (2012). Analysis of flood vulnerability and assessment of the impacts in coastal zones of Bangladesh due to potential sea-level rise. Natural Hazards, 61(2), 729–743. https://doi.org/10.1007/s11069-011-0059-3
  11. Brunner, G. W. (2016). HEC-RAS River Analysis System, 2D Modeling User’s Manual Version 5.0, (CPD-68A), 1–171. Retrieved from www.hec.usace.army.mil
  12. Casulli, V., & Stelling, G. S. (1998). Numerical Simulation of 3D Quasi-Hydrostatic, Free-Surface Flows. Journal of Hydraulic Engineering, 124(7), 678–686. https://doi.org/10.1061/(ASCE)0733-9429(1998)124:7(678)
  13. Cesur, D. (2007). GIS as an information technology framework for water modeling. Journal of Hydroinformatics, 9(2), 123–134. https://doi.org/10.2166/hydro.2007.008
  14. Cunge, J. A., Holly, F. M., & Verwey, A. (1980). Practical aspects of computational river hydraulics. Boston: Pitman Advanced Publishing.
  15. Cunge, J. A., & Wegner, M. (1964). Intégration numérique des équations d’écoulement de barré de Saint-Venant par un schéma implicite de différences finies. La Houille Blanche, 50(1), 33–39. https://doi.org/10.1051/lhb/1964002
  16. de Saint-Venant, B. Saint-Venant, A.J.C. SAINT-VENANT, DE BARRÉ, AJC Saint-Venant, D. Barre, J. Saint-Cyr, Venant de Saint, A.J.C. SAINT-VENANT, J. S.-C. (1871). Théorie du mouvement non permanent des eaux, avec application aux crues des rivières et à l’introduction de marées dans leurs lits.
  17. Demir, V., & Ülke Keskin, A. (2020). Obtaining the Manning Roughness with Terrestrial-Remote Sensing Technique and Flood Modeling using FLO-2D, a case study Samsun from Turkey. Geofizika. https://doi.org/doi.org/10.15233/gfz.2020.37.9
  18. Demir, Vahdettin, & Ülke Keskin, A. (2021). Yeterince akım ölçümü olmayan nehirlerde taşkın debisinin hesaplanması ve taşkın modellemesi (Samsun, Mert Irmağı örneği). Geomatik, 7(2), 149–162. https://doi.org/10.29128/geomatik.918502
  19. DHI. (2016a). DHI (Danish Hydraulic Institute) MIKE11 a modelling system for rivers and channels Reference manual.
  20. DHI. (2016b). DHI (Danish Hydraulic Institute) MIKE21 flow model FM User Guide.
  21. Dutta, D., Herath, S., & Musiake, K. (2006). An application of a flood risk analysis system for impact analysis of a flood control plan in a river basin. Hydrological Processes, 20(6), 1365–1384. https://doi.org/10.1002/hyp.6092
  22. Dutta, D., Teng, J., Vaze, J., Lerat, J., Hughes, J., & Marvanek, S. (2013). Storage-based approaches to build floodplain inundation modelling capability in river system models for water resources planning and accounting. Journal of Hydrology, 504, 12–28. https://doi.org/10.1016/j.jhydrol.2013.09.033
  23. Fotovatikhah, F., Herrera, M., Shamshirband, S., Chau, K., Faizollahzadeh Ardabili, S., & Piran, M. J. (2018). Survey of computational intelligence as basis to big flood management: challenges, research directions and future work. Engineering Applications of Computational Fluid Mechanics, 12(1), 411–437. https://doi.org/10.1080/19942060.2018.1448896
  24. Gallegos, H. A., Schubert, J. E., & Sanders, B. F. (2009). Two-dimensional, high-resolution modeling of urban dam-break flooding: A case study of Baldwin Hills, California. Advances in Water Resources, 32(8), 1323–1335. https://doi.org/10.1016/j.advwatres.2009.05.008
  25. Huthoff, F., Remo, J. W. F., & Pinter, N. (2015). Improving flood preparedness using hydrodynamic levee-breach and inundation modelling: Middle Mississippi River, USA. Journal of Flood Risk Management, 8(1), 2–18. https://doi.org/10.1111/jfr3.12066
  26. Isaacson, E., Stoker, J. J., & Troesch, A. (1958). Numerical Solution of Flow Problems in Rivers. Journal of the Hydraulics Division, 84(5), 1–18. https://doi.org/10.1061/JYCEAJ.0000220
  27. Jakeman, A. J., Letcher, R. A., & Norton, J. P. (2006). Ten iterative steps in development and evaluation of environmental models. Environmental Modelling and Software, 21(5), 602–614. https://doi.org/10.1016/j.envsoft.2006.01.004
  28. Kalinina, A., Spada, M., Vetsch, D. F., Marelli, S., Whealton, C., Burgherr, P., & Sudret, B. (2020). Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks. Energies, 13(14), 3685. https://doi.org/10.3390/en13143685
  29. Karim, F., Dutta, D., Marvanek, S., Petheram, C., Ticehurst, C., Lerat, J., … Yang, A. (2015). Assessing the impacts of climate change and dams on floodplain inundation and wetland connectivity in the wet–dry tropics of northern Australia. Journal of Hydrology, 522, 80–94. https://doi.org/10.1016/j.jhydrol.2014.12.005
  30. Katopodes, N. D., & Strelkoff, T. (1978). Computing Two-Dimensional Dam-Break Flood Waves. Journal of the Hydraulics Division, 104(9), 1269–1288. https://doi.org/10.1061/JYCEAJ.0005062
  31. Lhomme, J., Sayers, P., Gouldby, B., Wills, M., & Mulet-Marti, J. (2008). Recent development and application of a rapid flood spreading method. Flood Risk Management: Research and Practice, (October), 15–24. https://doi.org/10.1201/9780203883020.ch2
  32. Mahmood, K., Yevjevich, V. M., & Miller, W. A. (1975). Unsteady flow in open channels. Fort Collins, Colo.: Water Resources Publications, 1975. https://doi.org/https://www.vgls.vic.gov.au/client/en_AU/VGLS-public/search/detailnonmodal?qu=Channels+%28Hydraulic+engineering%29&d=ent%3A%2F%2FSD_ILS%2F0%2FSD_ILS%3A82999%7EILS%7E0&ic=true&ps=300
  33. Marriott, S. (1992). Textural analysis and modelling of a flood deposit: River severn, U.K. Earth Surface Processes and Landforms, 17(7), 687–697. https://doi.org/10.1002/esp.3290170705
  34. Martin, C. S., & DeFazio, F. G. (1969). Open-Channel Surge Simulation By Digital Computer. Journal of the Hydraulics Division, 95(6), 2049–2070. https://doi.org/10.1061/JYCEAJ.0002204
  35. Martin, C. S., & Zovne, J. J. (1971). Finite-Difference Simulation of Bore Propagation. Journal of the Hydraulics Division, 97(7), 993–1010. https://doi.org/10.1061/JYCEAJ.0003043
  36. Martinis, S., Twele, A., & Voigt, S. (2009). Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data. Natural Hazards and Earth System Sciences, 9(2), 303–314. https://doi.org/10.5194/nhess-9-303-2009
  37. Matgen, P., Hostache, R., Schumann, G., Pfister, L., Hoffmann, L., & Savenije, H. H. G. (2011). Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies. Physics and Chemistry of the Earth, 36(7–8), 241–252. https://doi.org/10.1016/J.PCE.2010.12.009
  38. Merz, B., Kreibich, H., Schwarze, R., & Thieken, A. (2010). Review article “assessment of economic flood damage.” Natural Hazards and Earth System Science, 10(8), 1697–1724. https://doi.org/10.5194/nhess-10-1697-2010
  39. Merz, Bruno, & Thieken, A. H. (2005). Separating natural and epistemic uncertainty in flood frequency analysis. Journal of Hydrology, 309(1–4), 114–132. https://doi.org/10.1016/j.jhydrol.2004.11.015
  40. Mokhtari, F., Soltani, S., & Mousavi, S. A. (2017). Assessment of Flood Damage on Humans, Infrastructure, and Agriculture in the Ghamsar Watershed Using HEC-FIA Software. Natural Hazards Review, 18(3), 04017006. https://doi.org/10.1061/(asce)nh.1527-6996.0000248
  41. Monaghan, J. J. (1994). Simulating Free Surface Flows with SPH. Journal of Computational Physics, 110(2), 399–406. https://doi.org/10.1006/jcph.1994.1034
  42. Moulinec, C., Denis, C., Pham, C.-T., Rougé, D., Hervouet, J.-M., Razafindrakoto, E., … Gu, X.-J. (2011). TELEMAC: An efficient hydrodynamics suite for massively parallel architectures. Computers & Fluids, 51(1), 30–34. https://doi.org/10.1016/j.compfluid.2011.07.003
  43. Mure-Ravaud, M., Binet, G., Bracq, M., Perarnaud, J. J., Fradin, A., & Litrico, X. (2016). A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states. Environmental Modelling and Software, 84, 35–49. https://doi.org/10.1016/J.ENVSOFT.2016.06.002
  44. Néelz, S., & Pender, G. (2013). Benchmarking the latest generation of 2D hydraulic modelling packages.
  45. O’CONNOR, J. E., & BAKER, V. R. (1992). Magnitudes and implications of peak discharges from glacial Lake Missoula. Geological Society of America Bulletin, 104(3), 267–279. https://doi.org/10.1130/0016-7606(1992)104 2.3.CO;2
  46. Pender, G. (2006). Briefing: Introducing the Flood Risk Management Research Consortium. Proceedings of the Institution of Civil Engineers - Water Management, 159(1), 3–8. https://doi.org/10.1680/wama.2006.159.1.3 PIZZUTO, J. E. (1987). Sediment diffusion during overbank flows. Sedimentology, 34(2), 301–317. https://doi.org/10.1111/j.1365-3091.1987.tb00779.x
  47. Prakash, M., Rothauge, K., & Cleary, P. W. (2014). Modelling the impact of dam failure scenarios on flood inundation using SPH. Applied Mathematical Modelling, 38(23), 5515–5534. https://doi.org/10.1016/j.apm.2014.03.011
  48. Pulvirenti, L., Chini, M., Pierdicca, N., Guerriero, L., & Ferrazzoli, P. (2011). Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation. Remote Sensing of Environment, 115(4), 990–1002. https://doi.org/10.1016/j.rse.2010.12.002
  49. René, J.-R., Djordjević, S., Butler, D., Mark, O., Henonin, J., Eisum, N., & Madsen, H. (2015). A real-time pluvial flood forecasting system for Castries, St. Lucia. Journal of Flood Risk Management, 11, S269–S283. https://doi.org/10.1111/jfr3.12205
  50. Roberts, S., Nielsen, O., Gray, D., & Sexton, J. (2015). ANUGA User Manual, (May), jg. https://doi.org/10.13140/RG.2.2.12401.99686
  51. Sanyal, J., & Lu, X. X. (2004). Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review. Natural Hazards 2004 33:2, 33(2), 283–301. https://doi.org/10.1023/B:NHAZ.0000037035.65105.95
  52. Schumann, G., Bates, P. D., Horritt, M. S., Matgen, P., & Pappenberger, F. (2009). Progress in integration of remote sensing–derived flood extent and stage data and hydraulic models. Reviews of Geophysics, 47(4). https://doi.org/10.1029/2008RG000274
  53. Schumann, G. J.-P., Bates, P. D., Horritt, M. S., Matgen, P., & Pappenberger, F. (2009). Progress in integration of remote sensing derived flood extent and stage data and hydraulic models. Reviews of Geophysics, 47.
  54. Smith, L. C. (1997). Satellite remote sensing of river inundation area, stage, and discharge: A review. Hydrological Processes, 11(10), 1427–1439. https://doi.org/10.1002/(sici)1099-1085(199708)11:10 3.0.co;2-s
  55. Stelling, G. S., & Verwey, A. (2005). Numerical Flood Simulation. In Encyclopedia of Hydrological Sciences. Chichester, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/0470848944.hsa025a
  56. Stephens, E. M., Bates, P. D., Freer, J. E., & Mason, D. C. (2012). The impact of uncertainty in satellite data on the assessment of flood inundation models. Journal of Hydrology, 414–415, 162–173. https://doi.org/10.1016/J.JHYDROL.2011.10.040
  57. Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017). Flood inundation modelling: A review of methods, recent advances and uncertainty analysis. Environmental Modelling and Software, 90, 201–216. https://doi.org/10.1016/j.envsoft.2017.01.006
  58. Teng, J., Vaze, J., Dutta, D., & Marvanek, S. (2015). Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM. Water Resources Management, 29(8), 2619–2636. https://doi.org/10.1007/S11269-015-0960-8
  59. Ticehurst, C., Dutta, D., Karim, F., Petheram, C., & Guerschman, J. P. (2015). Improving the accuracy of daily MODIS OWL flood inundation mapping using hydrodynamic modelling. Natural Hazards, 78(2), 803–820. https://doi.org/10.1007/S11069-015-1743-5
  60. Vacondio, R., Rogers, B. D., Stansby, P. K., & Mignosa, P. (2012). SPH Modeling of Shallow Flow with Open Boundaries for Practical Flood Simulation. Journal of Hydraulic Engineering, 138(6), 530–541. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000543
  61. Vojtek, M., & Vojteková, J. (2016). Flood hazard and flood risk assessment at the local spatial scale: a case study. Geomatics, Natural Hazards and Risk, 7(6), 1973–1992. https://doi.org/10.1080/19475705.2016.1166874
  62. Ye, J., & McCorquodale, J. (1998). Simulation of Curved Open Channel Flows by 3D Hydrodynamic Model. Journal of Hydraulic Engineering, 124, 687–698.
  63. Zerger, A., & Wealands, S. (2004). Beyond Modelling: Linking Models with GIS for Flood Risk Management. Natural Hazards, 33(2), 191–208. https://doi.org/10.1023/B:NHAZ.0000037040.72866.92
  64. Zhang, N., Song, D., Zhang, J., Liao, W., Miao, K., Zhong, S., … Huang, C. (2019). The impact of the 2016 flood event in Anhui Province, China on infectious diarrhea disease: An interrupted time-series study. Environment International, 127, 801–809. https://doi.org/10.1016/j.envint.2019.03.063
  65. Bates, P., & De Roo, A. P. (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236(1–2), 54–77. https://doi.org/10.1016/S0022-1694(00)00278-X
  66. Mahmood, K., Yevjevich, V. M., & Miller, W. A. (1975). Unsteady flow in open channels. Fort Collins, Colo.: Water Resources Publications, 1975. https://doi.org/https://www.vgls.vic.gov.au/client/en_AU/VGLS-public/search/detailnonmodal?qu=Channels+%28Hydraulic+engineering%29&d=ent%3A%2F%2FSD_ILS%2F0%2FSD_ILS%3A82999%7EILS%7E0&ic=true&ps=300
  67. Mokhtari, F., Soltani, S., & Mousavi, S. A. (2017). Assessment of Flood Damage on Humans, Infrastructure, and Agriculture in the Ghamsar Watershed Using HEC-FIA Software. Natural Hazards Review, 18(3), 04017006. https://doi.org/10.1061/(asce)nh.1527-6996.0000248